TY - DATA
T1 - Supplementary materials for the article: Using ChatGPT for Human Computer Interaction Research: A Primer
PY - 2023/09/04
AU - Wilbert Tabone
AU - Joost de Winter
UR - https://data.4tu.nl/articles/dataset/_/21916017
DO - 10.4121/21916017.v1
KW - ChatGPT
KW - qualitative research method
KW - think-aloud protocols
KW - questionnaire data
KW - thematic-analysis
KW - augmented reality
KW - prompt engineering
KW - artificial intelligence
N2 - <p>Supplementary data for the paperTabone, W., &amp; De Winter, J. C. F. (2023). Using ChatGPT for Human–Computer Interaction Research: A Primer. Royal Society Open Science, 10, 231053.</p><p><br></p><p>This repository contains MATLAB scripts (tested in MATLAB R2023a),&nbsp;</p><p>input data (source data read by the MATLAB scripts),&nbsp;</p><p>and saved ChatGPT outputs for Study 1, 2, and 3 of the following research paper:</p><p><br></p><p>- Study1.m contains code for 2 different prompts, as well as different batch sizes (25 vs. 992), as described in the paper.</p><p>- Study1_bootstrapping.m contains the code for the bootstrapping approach, also described in the paper.</p><p>- Study1_randomness_test.m contains the code corresponding to the systematic variation of the temperature parameter described in the paper.</p><p>- Study2.m contains the code that corresponds to the interview summary for the Virtual fence augmented reality (AR) interface.</p><p>- Study2_16k_test.m contains the code of a trial, in which the entire interview was submitted all at once; something that has recently become possible with the 16k variant of the GPT-3.5 (not described in the paper)</p><p>- Study2_content_analysis.m and Study2_content_analysis_16k contain code for attempts at letting GPT perform a content analysis of the interview (described in the discussion of the paper).</p><p>- Study2_gpt4.m is similar to Study2.m but now adopts GPT-4 instead of GPT-3.5</p><p>- Study3_bootstrapping.m is code for the bootstrapping approach of the transcripts, as described in the paper.</p>
ER -